Results 1 to 10 of about 179 (123)
MIE-NSCT: Adaptive MRI Enhancement Based on Nonsubsampled Contourlet Transform [PDF]
Mathematical Problems in Engineering, 2021 Image enhancement technology is often used to improve the quality of medical images and helps doctors or expert systems identify and diagnose diseases. This paper aimed at the characteristics of magnetic resonance imaging (MRI) with complex and difficult-to-enhance details and to propose a nonsubsampled contourlet transform- (NSCT-) based enhancement ...
Caiwei Liu +4 more
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Multiscale Geometric Analysis Fusion-Based Unsupervised Change Detection in Remote Sensing Images via FLICM Model [PDF]
Entropy, 2022 Remote sensing image change detection is widely used in land use and natural disaster detection. In order to improve the accuracy of change detection, a robust change detection method based on nonsubsampled contourlet transform (NSCT) fusion and fuzzy ...
Liangliang Li, Hongbing Ma, Zhenhong Jia
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A dual nonsubsampled contourlet network for synthesis images and infrared thermal images denoising [PDF]
PeerJ Computer ScienceThe most direct way to find the electrical switchgear fault is to use infrared thermal imaging technology for temperature measurement. However, infrared thermal imaging images are usually polluted by noise, and there are problems such as low contrast and
Zhendong Xu +5 more
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A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset [PDF]
PeerJ Computer Science, 2021 Background and Purpose COVID-19 is a new strain of viruses that causes life stoppage worldwide. At this time, the new coronavirus COVID-19 is spreading rapidly across the world and poses a threat to people’s health.
Omar M. Elzeki +4 more
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Multiscale detection of power quality disturbances and cyber intrusions in smart grids using NSCT and frequency band scalograms [PDF]
Scientific ReportsThis paper presents a novel multiscale signal processing framework for power quality disturbance (PQD) and cyber intrusion detection in smart grids, combining Non-Subsampled Contourlet Transform (NSCT), Split Augmented Lagrangian Shrinkage Algorithm ...
Pampa Sinha +7 more
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AIRBORNE SAR IMAGE BRIGHTNESS COMPENSATION ENHANCEMENT PROCESSING BASED ON NSCT TRANSFORM [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Image brightness compensation processing is one of the important aspects to decide whether the image can be further used for remote sensing quantitative applications.
W. Wang, W. Wang, C. Cheng, Y. Wang
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Image Haze Removal Algorithm Based on Nonsubsampled Contourlet Transform
IEEE Access, 2021 In order to avoid the noise diffusion and amplification caused by traditional dehazing algorithms, a single image haze removal algorithm based on nonsubsampled contourlet transform (HRNSCT) is proposed. The HRNSCT removes haze only from the low-frequency
Bowen Zhang, Manli Wang, Xiaobo Shen
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IEEE Access, 2021 Noise reduction is important for X-ray images because it can reduce radiation exposure to patients. X-ray image noise has a Poisson-Gaussian distribution, and recently, noise analysis and removal in multiscale transformations have been widely implemented.
Sangyoon Lee, Moon Gi Kang
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A parallel fusion method of remote sensing image based on NSCT [PDF]
Компьютерная оптика, 2019 Remote sensing image fusion is very important for playing the advantages of a variety of remote sensing data. However, remote sensing image fusion is large in computing capacity and time consuming.
Xiaorong Xue, Fang Xiang, Hongfu Wang
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Change detection in multitemporal synthetic aperture radar (SAR) images has been an important research content in the field of remote sensing for a long time.
Weisong Li +4 more
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